Calculate growth rates

By this stage, you would have run get_yearly_data.ipynb and got yourself nice data. This notebook filters the raw JSON file dumps (remove empty files or those with errors etc) and perform linear regression to estimate annual growth rate of property price (*_appreciation_rates.xlsx) and rental income growth (*_rental_growth.xlsx), both are exported as Excel files according to the parameters set in the notebook.

Please consult README.md for further information.

Preperation

Test conversion of json to data frame before performing regression

Estimate property growth rate from downloaded data

Calculate growth in median rent

Visualise!

Note that this is interactive. Feel free to reset the graph, crop etc.

Two ways to visualise the data: standardised (showStandardised = True) and actual values (showStandardised = False). Displaying standardised values shows suburbs which appreciate above or below market average. Actual values colour code based on estimated growth rates.

maxFinalPrice is set to be very high to show overall picture. Feel free to change this to suit your budget.